Senior Federal government decision-makers support the government adopting artificial intelligence (AI) technologies and want to accelerate existing efforts to do so, according to a Government Business Council (GBC) report released today.
The City of San Francisco became the first city in the United States to ban law enforcement, as well as other city agencies, from using facial recognition technologies when its Board of Supervisors on Tuesday approved the Stop Secret Surveillance Ordinance.
A bipartisan group of senators reintroduced the Artificial Intelligence (AI) in Government Act on Wednesday to improve the use of AI across the Federal government by “providing access to technical expertise and streamlining hiring within the agencies.” The bill was previously introduced by the same group of senators in September of 2018, but didn’t receive a vote in the Senate.
The National Institute of Standards and Technology (NIST) is in the process of creating a plan for developing standards and tools to support artificial technologies and are currently seeking information on helping NIST “understand the current state, plans, challenges, and opportunities regarding the development and availability of AI technical standards.”
Microsoft is getting into the SparkNotes game with its latest project. In an April 23 blog post, Microsoft explained that it is using AI to help decode 19 plays from William Shakespeare in an attempt “to shine a new light on some of the greatest pieces of literature, as well as make them more accessible to people who worry the plays are too complex to easily understand.”
As robotic process automation (RPA) takes root in the Federal government, a conservative approach on security and authority to operate certifications (ATOs) from agency IT organizations can be a roadblock to the adoption of RPA, said Gerard Badorrek, CFO at the General Services Administration.
The Office of Management and Budget (OMB) is being careful about introducing any kind of unintended bias in its use of machine learning and artificial intelligence (AI) technologies, according to Margie Graves, Deputy CIO at OMB, who said today that Federal agencies should be very judicious about the technologies’ “fit for use.”
From the still-budding promise of automation technologies to the ever-growing threat of cyber vulnerabilities, partnerships both within the private sector and with the Federal government will shape the contours of large-scale IT advancement in the coming years, explained Yogesh Khanna, CTO at General Dynamics Information Technology, at GDIT’s Emerge event in Washington on Tuesday.
Data analytics and automation are key engines for Federal agencies’ future innovation, according to a panel of CIOs at today’s GDIT Emerge.
As part of the recent White House executive order on artificial intelligence (AI), Federal agencies will see a push to use AI to improve citizen experience, and an increased effort to catalog investments in AI, said Dr. Lynne Parker, assistant director for artificial intelligence at the White House Office of Science and Technology Policy (OSTP).
The U.S. Government Accountability Office (GAO) released an update on April 17 on the 13 priority recommendations identified in April 2018 for the Department of Justice (DOJ) with facial recognition software still being a key area for required action by the agency.
The Intelligence Advanced Research Projects Activity (IARPA) office released a draft solicitation for innovative solutions for automated broad-area search, monitoring, and analysis of anthropogenic activities – those related to human activity – within its Space-based Machine Automated Recognition Technique (SMART) program.
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Amid concerns of cybersecurity personnel shortages, IT and IT security managers are turning to artificial intelligence (AI) and automated solutions to compensate, and believe those options will end up improving the IT and cybersecurity industry, according to a new report by the Ponemon Institute and DomainTools.
Yesterday, the Food and Drug Administration (FDA) announced that it would be taking steps towards considering a new regulatory framework tailored to promote developing safe and effective medical devices that use artificial intelligence algorithms.
Making artificial intelligence (AI) explainable to the general public has come with its challenges in recent years and knowing where to start includes identifying high-consequence sectors that need future research and policymaker consideration.
It’s been a long road, winding through swaths of government data, unstructured and unrefined, toward a new vision of public service where government anticipates the needs of its citizenry. There’s been a lot of downtime and detours in between for technology and mission to catch up with that vision.
On Thursday, the Defense Advanced Research Projects Agency (DARPA) announced that it is going to fund research into changing the way that artificial intelligence learns language.
The military and the intelligence community are still finding strong collaboration from industry partners on artificial intelligence and data sharing, said two prominent officials on Thursday.
An important step in advancing artificial intelligence (AI) initiatives includes fortifying algorithms for AI, which are often brittle and “not good,” said Dr. John Beieler, program manager at the Intelligence Advanced Research Projects Activity (IARPA).
In the race to exascale computing, it looks like the Department of Energy (DoE) will be the first to reach the pole. In a couple of years, the department plans on opening a supercomputer, known as Aurora, capable of performing a quintillion calculations per second, five times faster than the current champ. But in addition to beating the Chinese and everyone else to the exascale summit, Aurora will be significant for incorporating artificial intelligence into its repertoire, while pursuing a range of scientific and real-world problems.
Through multiple efforts in both the executive and legislative branches of government, the Federal government is focused on supporting and adopting artificial intelligence (AI) technologies, said Federal CIO Suzette Kent on Wednesday.
When it comes to getting artificial intelligence systems to be more “human,” robots apparently have to learn to walk before they can run.The Pentagon’s top research arm recently hit a milestone in enabling a machine to learn without having to go through a lot of reprogramming at each stage, like they do now. And they did it with a robotic limb teaching itself to walk.